Title :
Stability of neurofuzzy controllers
Author :
Sanchez, Edgar N. ; Vega, Victor
Author_Institution :
Electr. Eng. Graduate Program, Univ. Autonoma de Nuevo Leon, San Nicolas de los Garza, Mexico
Abstract :
The paper presents the stability analysis for a class of neuro-fuzzy controllers. A representation of fuzzy sets as radial basis neural network is utilized. Stability conditions for nonlinear plants, in closed loop with this type of controller, are obtained by means of Popov theorem. Applicability of these conditions is illustrated via simulations
Keywords :
Popov criterion; closed loop systems; feedforward neural nets; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; stability; Popov theorem; closed-loop control; fuzzy sets; neurofuzzy controllers; nonlinear plants; radial basis neural network; stability analysis; stability conditions; Adaptive control; Closed loop systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Neodymium; Neural networks; Programmable control; Stability analysis;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532735
